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A survey of multi-objective sequential decision-making
Sequential decision-making problems with multiple objectives arise naturally in practice and
pose unique challenges for research in decision-theoretic planning and learning, which has …
pose unique challenges for research in decision-theoretic planning and learning, which has …
Decision-theoretic planning: Structural assumptions and computational leverage
Planning under uncertainty is a central problem in the study of automated sequential
decision making, and has been addressed by researchers in many different fields, including …
decision making, and has been addressed by researchers in many different fields, including …
Partially observable markov decision processes in robotics: A survey
Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
[ספר][B] Partially observed Markov decision processes
V Krishnamurthy - 2016 - books.google.com
Covering formulation, algorithms, and structural results, and linking theory to real-world
applications in controlled sensing (including social learning, adaptive radars and sequential …
applications in controlled sensing (including social learning, adaptive radars and sequential …
A survey of point-based POMDP solvers
The past decade has seen a significant breakthrough in research on solving partially
observable Markov decision processes (POMDPs). Where past solvers could not scale …
observable Markov decision processes (POMDPs). Where past solvers could not scale …
Planning and acting in partially observable stochastic domains
In this paper, we bring techniques from operations research to bear on the problem of
choosing optimal actions in partially observable stochastic domains. We begin by …
choosing optimal actions in partially observable stochastic domains. We begin by …
The complexity of decentralized control of Markov decision processes
We consider decentralized control of Markov decision processes and give complexity
bounds on the worst-case running time for algorithms that find optimal solutions …
bounds on the worst-case running time for algorithms that find optimal solutions …
[PDF][PDF] Point-based value iteration: An anytime algorithm for POMDPs
(PBVI) algorithm for POMDP planning. PBVI approximates an exact value iteration solution
by selecting a small set of representative belief points and then tracking the value and its …
by selecting a small set of representative belief points and then tracking the value and its …
[PDF][PDF] Dynamic programming for partially observable stochastic games
We develop an exact dynamic programming algorithm for partially observable stochastic
games (POSGs). The algorithm is a synthesis of dynamic programming for partially …
games (POSGs). The algorithm is a synthesis of dynamic programming for partially …
Online planning algorithms for POMDPs
Abstract Partially Observable Markov Decision Processes (POMDPs) provide a rich
framework for sequential decision-making under uncertainty in stochastic domains …
framework for sequential decision-making under uncertainty in stochastic domains …